Interpretability

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction COLING 2024 Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models NeurIPS 2024 TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning ACL 2024 Targeted Reduction of Causal Models UAI 2024 Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings NeurIPS 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction AAAI 2024 TasTe: Teaching Large Language Models to Translate through Self-Reflection ACL 2024 Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models ACL 2024 Teaching Probabilistic Logical Reasoning to Transformers EACL 2024 Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstration CoRL 2024 TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection ACL 2024 Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models NAACL 2024 Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs ICLR 2024 Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models AAAI 2024 Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint) AAAI 2024 Testing Semantic Importance via Betting NeurIPS 2024 TETRIS: Towards Exploring the Robustness of Interactive Segmentation AAAI 2024 Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text CoNLL 2024 TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024 Text Style Transfer Evaluation Using Large Language Models COLING 2024 Text-to-Image Models for Counterfactual Explanations: A Black-Box Approach WACV 2024 The ART of LLM Refinement: Ask, Refine, and Trust NAACL 2024 The Automated Verification of Textual Claims (AVeriTeC) Shared Task EMNLP 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? ACL 2024